Cancer, Stroke, Alzheimer’s disease…

Every day, we hear news about a discovery related to one of these diseases or others! We might have lost someone beloved to them… It is heartbreaking.

That’s why I started thinking about NeuroSeg!

Ever since I was a child, it has been my dream to make an impact on cancer treatment and to become a successful scientist. Today, in the era of AI, everything is changing—very, very fast! Tasks are getting easier, and it’s time to use AI to make a meaningful contribution to society. Using my background, I decided to make this dream come true.

From my early days as a biomedical engineering student, I saw the challenges and hardships caused by brain disease-from prevention to diagnosis and then treatment. This is why I started working on the challenges associated with brain cancer and brain stroke.

I began exploring:

• Why is brain cancer so challenging to treat?
• Why do many people pass away in the ER without being diagnosed with stroke, or why does their golden treatment window get lost?

Then, I found a possible way to help overcome some of these challenges by founding NeuroSeg—to develop a brain disorder management platform that improves outcomes for patients battling brain cancer or stroke.

NeuroSeg uses deep learning algorithms to analyze brain MRI and CT imaging data and highlight abnormal areas (also called segmentation). This helps surgeons get a clearer view of tumor shape and location, improving access during surgery and reducing the need for multiple operations. It also helps radiologists detect stroke signs earlier and alerts the ER team-reducing turnaround time and helping patients receive treatment faster.

Every day, we strive to revolutionize healthcare and treatment, reduce the stress load on healthcare teams, and improve patient outcomes.

I invite you to join us on this journey by signing up for our newsletter and following us on LinkedIn. I would love to hear stories from ER teams, radiologists, and neurosurgeons-especially where AI tools have helped before, or if there’s a pain point you think could be solved with AI to save time and improve the efficiency of procedures, or that could have helped in faster diagnosis or better outcomes.